• DocumentCode
    535072
  • Title

    Acoustic emission signal processing of grinding monitor

  • Author

    Lv, Changfei ; Li, Haolin

  • Author_Institution
    Sch. of Opt.-Electr. & Comput., Univ. of shanghai For Sci. &, Shanghai, China
  • Volume
    8
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3836
  • Lastpage
    3838
  • Abstract
    The main contents of this paper are the collection of Acoustic Emission (AE) of grinding and the process of the AE signal. The AE signal data are collected real-time through AE sensor for on-line monitoring of grinding processes based on experiments. A vibrating sensor and DATAQ instruments are used to weaken vibration preliminary and to make the collection and the preserving of the RMS of AE on PC. The procession and analysis of process curve of each single workpiece in a production line of automotive components based on the elimination-anamnesis recursion method (EARM), which can monitor the grinding force online, and also can eliminate the interference and vibration, providing a more effective method for analyzing and processing grinding signal and optimizing the monitor of dressing processes.
  • Keywords
    acoustic signal processing; grinding; production engineering computing; vibrations; DATAQ instruments; acoustic emission signal processing; elimination-anamnesis recursion method; grinding monitor; vibrating sensor; vibration signal; Acoustic emission; Feeds; Finishing; Force; Monitoring; Random access memory; Switches; Acoustic Emission (AE); Elimination-anamnesis Recursion Method (EARM); grinding force; grinding signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646807
  • Filename
    5646807